Data Scientist
Chantilly, VA
- Pay
USD 120,400–234,700/yearAnnual period assumed — pay source
The pay range for the states of California, Colorado, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia is: $120,400—$234,700 USD What We Believe
Read the full posting- Work setup
- Unconfirmed
- Employment
- Unconfirmed
Before you apply
- Sponsorship
Visa sponsorship not confirmed — sponsorship source
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
Read the full posting
What you’ll work on
Full postingDevelop visualizations to communicate analytical results effectively to diverse stakeholders.
Design and implement software solutions to monitor and manage data pipeline tasks.
Work with diverse file types, including geospatial formats, JSON, XML, and others, to process and analyze data.
From the employer’s posting
Conduct data analysis using statistical and quantitative methods to extract insights and support data-driven decision-making. Develop visualizations to communicate analytical results effectively to diverse stakeholders. Design and implement software solutions to monitor and manage data pipeline tasks.
Develop visualizations to communicate analytical results effectively to diverse stakeholders. Design and implement software solutions to monitor and manage data pipeline tasks. Work with diverse file types, including geospatial formats, JSON, XML, and others, to process and analyze data.
Design and implement software solutions to monitor and manage data pipeline tasks. Work with diverse file types, including geospatial formats, JSON, XML, and others, to process and analyze data. Perform data manipulation, extract-transform-load (ETL) processes, and utilize database technologies (SQL and NoSQL).
What you’ll bring
All qualificationsCore experience
- Experience working with AI/ML technologies and data systems.
- Experience working with multiple file types including JSON, XML, etc.
- Experience in quantitative analysis, visualization development, and processing complex data to produce actionable insights.
- Experience with data manipulation and ETL procedures.
- Knowledge of database technologies, including SQL and NoSQL.
Preferred experience
- Experience applying Natural Language Processing (NLP) algorithms to extract data from documents.
- Familiarity with enterprise Computer Vision applications, automated data collection, reporting, and data standardization best practices.
- Expertise in math, statistics, and quantitative analysis, with experience in techniques such as classification, regression, clustering, data reduction, and causal modeling.
Qualification wording
Experience working with AI/ML technologies and data systems.
Experience working with multiple file types including JSON, XML, etc.
Experience in quantitative analysis, visualization development, and processing complex data to produce actionable insights.
Experience with data manipulation and ETL procedures.
Knowledge of database technologies, including SQL and NoSQL.
Experience applying Natural Language Processing (NLP) algorithms to extract data from documents.
Familiarity with enterprise Computer Vision applications, automated data collection, reporting, and data standardization best practices.
Expertise in math, statistics, and quantitative analysis, with experience in techniques such as classification, regression, clustering, data reduction, and causal modeling.
Tools in this posting
- Python
- SQL
- NoSQL
Source — Tool mentions in context
- Knowledge of database technologies, including SQL and NoSQL. - Development experience in Python, libraries, and other programming languages for data cleaning and manipulation. Preferred Qualifications:
- Work with diverse file types, including geospatial formats, JSON, XML, and others, to process and analyze data. - Perform data manipulation, extract-transform-load (ETL) processes, and utilize database technologies (SQL and NoSQL). - Leverage AI/ML technologies to drive innovation and solve complex data challenges.
- Experience with data manipulation and ETL procedures. - Knowledge of database technologies, including SQL and NoSQL. - Development experience in Python, libraries, and other programming languages for data cleaning and manipulation.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 14, 2026 · 1d ago
- Recorded sightings
- 2
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Job description
Job Description:
We are seeking a talented and motivated Data Scientist to perform advanced data analysis using statistical and quantitative methods, develop impactful visualizations to support decision-making, and create software solutions to monitor and manage data pipeline tasks. This role requires a strong technical background in data manipulation, AI/ML technologies, and database systems, paired with the ability to generate actionable insights from complex datasets.
Key Responsibilities:
- Conduct data analysis using statistical and quantitative methods to extract insights and support data-driven decision-making.
- Develop visualizations to communicate analytical results effectively to diverse stakeholders.
- Design and implement software solutions to monitor and manage data pipeline tasks.
- Work with diverse file types, including geospatial formats, JSON, XML, and others, to process and analyze data.
- Perform data manipulation, extract-transform-load (ETL) processes, and utilize database technologies (SQL and NoSQL).
- Leverage AI/ML technologies to drive innovation and solve complex data challenges.
Required Qualifications:
- Experience working with AI/ML technologies and data systems.
- Experience working with multiple file types including JSON, XML, etc.
- Experience in quantitative analysis, visualization development, and processing complex data to produce actionable insights.
- Experience with data manipulation and ETL procedures.
- Knowledge of database technologies, including SQL and NoSQL.
- Development experience in Python, libraries, and other programming languages for data cleaning and manipulation.
Preferred Qualifications:
- Experience applying Natural Language Processing (NLP) algorithms to extract data from documents.
- Familiarity with enterprise Computer Vision applications, automated data collection, reporting, and data standardization best practices.
- Expertise in math, statistics, and quantitative analysis, with experience in techniques such as classification, regression, clustering, data reduction, and causal modeling.
Security Requirements
- TS/SCI level clearance or higher required
As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply.
Your next step
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- Check the listed location, eligibility and core experience before starting.
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Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
The pay range for the states of California, Colorado, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia is: $120,400—$234,700 USD What We Believe
- Location & working pattern
Chantilly, VA
Working pattern and location restrictions need checking in the full posting.
- Work authorization
Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Federal Services Equal Opportunity Policy Statement. Accenture Federal Services is an Equal Employment Opportunity employer. Additionally, as an Affirmative Action Employer for Veterans and Individuals with Disabilities, Accenture Federal Services is committed to providing veteran employment opportunities to our service men and women.
More source context
Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration.
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